Metal device set to: Apple M1 Pro
systemMemory: 16.00 GB
maxCacheSize: 5.33 GB
Model: "sequential"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense (Dense) (None, 256) 3328
leaky_re_lu (LeakyReLU) (None, 256) 0
dense_1 (Dense) (None, 256) 65792
leaky_re_lu_1 (LeakyReLU) (None, 256) 0
dense_2 (Dense) (None, 256) 65792
leaky_re_lu_2 (LeakyReLU) (None, 256) 0
dense_3 (Dense) (None, 256) 65792
leaky_re_lu_3 (LeakyReLU) (None, 256) 0
dense_4 (Dense) (None, 256) 65792
leaky_re_lu_4 (LeakyReLU) (None, 256) 0
dense_5 (Dense) (None, 3) 771
=================================================================
Total params: 267,267
Trainable params: 267,267
Non-trainable params: 0
_________________________________________________________________
Epoch 1/50
409/409 [==============================] - 17s 39ms/step - loss: 0.0139 - val_loss: 0.0064
Epoch 2/50
409/409 [==============================] - 16s 39ms/step - loss: 0.0045 - val_loss: 0.0030
Epoch 3/50
409/409 [==============================] - 16s 38ms/step - loss: 0.0023 - val_loss: 0.0017
Epoch 4/50
409/409 [==============================] - 16s 39ms/step - loss: 0.0013 - val_loss: 9.0440e-04
Epoch 5/50
409/409 [==============================] - 16s 38ms/step - loss: 7.4672e-04 - val_loss: 7.0664e-04
Epoch 6/50
409/409 [==============================] - 16s 38ms/step - loss: 5.3759e-04 - val_loss: 0.0014
Epoch 7/50
409/409 [==============================] - 16s 38ms/step - loss: 3.0408e-04 - val_loss: 1.8592e-04
Epoch 8/50
409/409 [==============================] - 16s 39ms/step - loss: 5.6797e-04 - val_loss: 1.5441e-04
Epoch 9/50
409/409 [==============================] - 16s 39ms/step - loss: 1.6323e-04 - val_loss: 1.2028e-04
Epoch 10/50
409/409 [==============================] - 16s 39ms/step - loss: 0.0023 - val_loss: 0.0018
Epoch 11/50
409/409 [==============================] - 16s 38ms/step - loss: 7.0798e-04 - val_loss: 3.8913e-04
Epoch 12/50
409/409 [==============================] - 16s 38ms/step - loss: 2.7306e-04 - val_loss: 2.3731e-04
Epoch 13/50
409/409 [==============================] - 16s 38ms/step - loss: 1.6684e-04 - val_loss: 2.1905e-04
Epoch 14/50
409/409 [==============================] - 16s 38ms/step - loss: 4.2315e-04 - val_loss: 1.1010e-04
Epoch 15/50
409/409 [==============================] - 16s 38ms/step - loss: 9.9432e-05 - val_loss: 8.1064e-05
Epoch 16/50
409/409 [==============================] - 16s 38ms/step - loss: 9.6346e-05 - val_loss: 6.6006e-05
Epoch 17/50
409/409 [==============================] - 16s 39ms/step - loss: 7.1121e-04 - val_loss: 2.4080e-04
Epoch 18/50
409/409 [==============================] - 16s 38ms/step - loss: 1.4322e-04 - val_loss: 8.6549e-05
Epoch 19/50
409/409 [==============================] - 16s 38ms/step - loss: 2.2064e-04 - val_loss: 7.4070e-05
Epoch 20/50
409/409 [==============================] - 16s 39ms/step - loss: 8.0201e-05 - val_loss: 5.4994e-05
Epoch 21/50
409/409 [==============================] - 16s 38ms/step - loss: 7.4919e-05 - val_loss: 5.3461e-05
Epoch 22/50
409/409 [==============================] - 16s 38ms/step - loss: 5.9307e-04 - val_loss: 2.8007e-04
Epoch 23/50
409/409 [==============================] - 16s 38ms/step - loss: 1.1385e-04 - val_loss: 6.3960e-05
Epoch 24/50
409/409 [==============================] - 16s 38ms/step - loss: 6.7276e-05 - val_loss: 5.0187e-05
Epoch 25/50
409/409 [==============================] - 16s 38ms/step - loss: 6.9262e-05 - val_loss: 4.8103e-05
Epoch 26/50
409/409 [==============================] - 16s 38ms/step - loss: 1.9159e-04 - val_loss: 4.5047e-05
Epoch 27/50
409/409 [==============================] - 16s 39ms/step - loss: 5.6364e-05 - val_loss: 3.4592e-05
Epoch 28/50
409/409 [==============================] - 16s 38ms/step - loss: 5.1091e-05 - val_loss: 4.3549e-05
Epoch 29/50
409/409 [==============================] - 16s 39ms/step - loss: 4.9751e-05 - val_loss: 3.0712e-05
Epoch 30/50
409/409 [==============================] - 16s 39ms/step - loss: 5.1773e-05 - val_loss: 5.2196e-05
Epoch 31/50
409/409 [==============================] - 16s 38ms/step - loss: 2.8516e-04 - val_loss: 3.8043e-05
Epoch 32/50
409/409 [==============================] - 16s 38ms/step - loss: 4.7286e-05 - val_loss: 3.2020e-05
Epoch 33/50
409/409 [==============================] - 16s 38ms/step - loss: 4.4699e-05 - val_loss: 3.6287e-05
Epoch 34/50
409/409 [==============================] - 16s 38ms/step - loss: 4.3070e-05 - val_loss: 3.3830e-05
Epoch 35/50
409/409 [==============================] - 16s 38ms/step - loss: 4.1736e-05 - val_loss: 4.6607e-05
Epoch 36/50
409/409 [==============================] - 16s 39ms/step - loss: 4.2521e-05 - val_loss: 2.2384e-05
Epoch 37/50
409/409 [==============================] - 16s 38ms/step - loss: 3.8857e-05 - val_loss: 2.2915e-05
Epoch 38/50
409/409 [==============================] - 15s 38ms/step - loss: 3.8909e-05 - val_loss: 5.9432e-05
Epoch 39/50
409/409 [==============================] - 15s 38ms/step - loss: 0.0011 - val_loss: 9.5437e-05
Epoch 40/50
409/409 [==============================] - 15s 38ms/step - loss: 7.3374e-05 - val_loss: 5.5382e-05
Epoch 41/50
409/409 [==============================] - 16s 38ms/step - loss: 1.1251e-04 - val_loss: 3.8459e-04
Epoch 42/50
409/409 [==============================] - 16s 38ms/step - loss: 7.5961e-05 - val_loss: 3.9398e-05
Epoch 43/50
409/409 [==============================] - 16s 38ms/step - loss: 4.6591e-05 - val_loss: 3.6834e-05
Epoch 44/50
409/409 [==============================] - 16s 38ms/step - loss: 4.3632e-05 - val_loss: 3.5948e-05
Epoch 45/50
409/409 [==============================] - 16s 38ms/step - loss: 4.3689e-05 - val_loss: 3.6867e-05
Epoch 46/50
409/409 [==============================] - 16s 38ms/step - loss: 4.1827e-05 - val_loss: 3.5228e-05
Epoch 47/50
409/409 [==============================] - 16s 38ms/step - loss: 1.8641e-04 - val_loss: 2.9534e-05
Epoch 48/50
409/409 [==============================] - 16s 38ms/step - loss: 3.6224e-05 - val_loss: 3.1125e-05
Epoch 49/50
409/409 [==============================] - 16s 39ms/step - loss: 3.4418e-05 - val_loss: 3.8199e-05
Epoch 50/50
409/409 [==============================] - 16s 38ms/step - loss: 3.4602e-05 - val_loss: 2.0422e-05
46/46 [==============================] - 1s 14ms/step - loss: 2.0422e-05
INFO:tensorflow:Assets written to: models/best_uv_model/assets
Validation mse: 2.0422303350642323e-05